Improved patient specific seizure detection during pre-surgical evaluation.

Hdl Handle:
http://hdl.handle.net/10147/229893
Title:
Improved patient specific seizure detection during pre-surgical evaluation.
Authors:
Chua, Eric C-P; Patel, Kunjan; Fitzsimons, Mary; Bleakley, Chris J
Affiliation:
Complex and Adaptive Systems Laboratory, School of Computer Science and Informatics, University College Dublin, Dublin 4, Ireland. eric.chua.2@gmail.com
Citation:
Improved patient specific seizure detection during pre-surgical evaluation. 2011, 122 (4):672-9 Clin Neurophysiol
Journal:
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Issue Date:
Apr-2011
URI:
http://hdl.handle.net/10147/229893
DOI:
10.1016/j.clinph.2010.10.002
PubMed ID:
21130030
Additional Links:
http://casl.ucd.ie/hosted/papers/chris_bleakley/seizure_detection.pdf
Abstract:
There is considerable interest in improved off-line automated seizure detection methods that will decrease the workload of EEG monitoring units. Subject-specific approaches have been demonstrated to perform better than subject-independent ones. However, for pre-surgical diagnostics, the traditional method of obtaining a priori data to train subject-specific classifiers is not practical. We present an alternative method that works by adapting the threshold of a subject-independent to a specific subject based on feedback from the user.
Item Type:
Article
Language:
en
MeSH:
Adult; Algorithms; Artificial Intelligence; Data Interpretation, Statistical; Electroencephalography; Epilepsy, Tonic-Clonic; False Positive Reactions; Female; Humans; Male; Middle Aged; Normal Distribution; Preoperative Care; ROC Curve; Reproducibility of Results; Seizures; Wavelet Analysis
ISSN:
1872-8952

Full metadata record

DC FieldValue Language
dc.contributor.authorChua, Eric C-Pen_GB
dc.contributor.authorPatel, Kunjanen_GB
dc.contributor.authorFitzsimons, Maryen_GB
dc.contributor.authorBleakley, Chris Jen_GB
dc.date.accessioned2012-06-20T13:39:20Z-
dc.date.available2012-06-20T13:39:20Z-
dc.date.issued2011-04-
dc.identifier.citationImproved patient specific seizure detection during pre-surgical evaluation. 2011, 122 (4):672-9 Clin Neurophysiolen_GB
dc.identifier.issn1872-8952-
dc.identifier.pmid21130030-
dc.identifier.doi10.1016/j.clinph.2010.10.002-
dc.identifier.urihttp://hdl.handle.net/10147/229893-
dc.description.abstractThere is considerable interest in improved off-line automated seizure detection methods that will decrease the workload of EEG monitoring units. Subject-specific approaches have been demonstrated to perform better than subject-independent ones. However, for pre-surgical diagnostics, the traditional method of obtaining a priori data to train subject-specific classifiers is not practical. We present an alternative method that works by adapting the threshold of a subject-independent to a specific subject based on feedback from the user.en_GB
dc.language.isoenen
dc.relation.urlhttp://casl.ucd.ie/hosted/papers/chris_bleakley/seizure_detection.pdfen_GB
dc.rightsArchived with thanks to Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiologyen_GB
dc.subject.meshAdult-
dc.subject.meshAlgorithms-
dc.subject.meshArtificial Intelligence-
dc.subject.meshData Interpretation, Statistical-
dc.subject.meshElectroencephalography-
dc.subject.meshEpilepsy, Tonic-Clonic-
dc.subject.meshFalse Positive Reactions-
dc.subject.meshFemale-
dc.subject.meshHumans-
dc.subject.meshMale-
dc.subject.meshMiddle Aged-
dc.subject.meshNormal Distribution-
dc.subject.meshPreoperative Care-
dc.subject.meshROC Curve-
dc.subject.meshReproducibility of Results-
dc.subject.meshSeizures-
dc.subject.meshWavelet Analysis-
dc.titleImproved patient specific seizure detection during pre-surgical evaluation.en_GB
dc.typeArticleen
dc.contributor.departmentComplex and Adaptive Systems Laboratory, School of Computer Science and Informatics, University College Dublin, Dublin 4, Ireland. eric.chua.2@gmail.comen_GB
dc.identifier.journalClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiologyen_GB
dc.description.provinceLeinsteren

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